A mature CSV toolset with simple api, full of options and tested against large datasets.
CSV parser and writer
fast-csv formatting module
CSV parsing implementing the Node.js `stream.Transform` API
fast-csv parsing package
CSV stringifier implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
CSV and object generation implementing the Node.js `stream.Readable` API
create a pipeline of streams using Minipass
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
Convenient parsing for Fetch.
TypeScript definitions for react-csv
Convert objects/arrays into a CSV string or write them into a CSV file
Object transformations implementing the Node.js `stream.Transform` API
Easily create CSV data from json collection
A tool concentrating on converting csv data to JSON with customised parser supporting
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
Build CSV files on the fly basing on Array/literal object of data
Fast CSV parser
Core HTTP Compatibility Library to bridge the gap between Core V1 & V2 packages.
AWS SDK for JavaScript Codepipeline Client for Node.js, Browser and React Native
Collection of ~170 lightweight, composable transducers, reducers, generators, iterators for functional data transformations
Transform pipeline operator into call expressions
Simple wrapper to process csv's with a pipeline of testable processors.
SmarterCSV is a high-performance CSV reader and writer for Ruby focused on fastest end-to-end ingestion — not just parsing. It returns ready-to-use hashes with configurable header and value transformations, intelligent defaults, and automatic delimiter discovery. Built for real-world data pipelines, SmarterCSV supports chunked processing for large files, streaming via Enumerable APIs, and C acceleration to optimize the full ingestion path (parsing + hash construction + conversions). Designed to handle messy user-uploaded CSV while remaining easy to integrate with Rails, ActiveRecord imports, Sidekiq jobs, parallel processing, and S3-based workflows.
Document extraction for RAG pipelines. Loads PDF, DOCX, CSV, HTML, and web pages into a normalized Document format for chunking and embedding.
SolidStackWeb is a mountable Rails engine that provides a production-ready operations dashboard for the full Solid Stack. It covers Solid Queue (job browser, failed job retry with inline argument editing, queue pause/resume, recurring tasks, performance stats, CSV export, and alert webhooks), Solid Cache (entry browser, size distribution, 24-hour write timeline, and optional value preview), and Solid Cable (channel browser, per-channel message list, and purge controls). Ships with dark mode, Turbo Stream responses, a JSON metrics endpoint, and no asset pipeline dependency.
Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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